First Advisor

D. Richard Lycan

Term of Graduation

Summer 1990

Date of Publication

8-23-1990

Document Type

Thesis

Degree Name

Master of Science (M.S.) in Geography

Department

Geography

Language

English

Subjects

Oregon Health Sciences University, Geographic information systems, Transportation -- Oregon -- Portland -- Planning -- Mathematical models, Local transit -- Research -- Oregon -- Portland

DOI

10.15760/etd.6016

Physical Description

1 online resource (3, x, 76 pages)

Abstract

Geographic Information System (GIS) address-matching combined with other GIS processing offers new analytical opportunities in the area of transportation planning and analysis. Address-matching, an automated method for generating geographically-referenced (geocoded) point locations on a map from common tabular databases, can facilitate transportation analysis by providing a planning tool based on individual rather than aggregated spatial distributions more common to transportation issues.

This thesis presents a case study in which GIS address-matching was I applied to a transportation problem at Oregon Health Sciences University (OHSU) in Portland, Oregon. The transportation problem at OHSU is common to major employment centers in urban areas: too few parking spaces for the number of employees and patrons who work and seek services at the location.

Transportation planners at Tri-Met, Portland's transit authority were interested in the spatial distribution of bus services in relation to the residences of OHSU employees. Address-matching and other GIS processing provided detailed information about employee locations within varying buffer zones around the bus routes.

The research problem of this thesis was whether or not, in the context of the OHSU problem, the detailed information provided additional insight and analytical possibilities in comparison to the use of aggregated data. Two approaches were used to evaluate this question. The first approach compared estimates of employees within bus-route buffer zones derived from address-matching with estimates derived from employee density data aggregated by zip code areas. The second approach used in the critique of the utility of address-matching was based on testing the employee point distribution for spatial patterns relative to the bus-route network.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

Comments

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Persistent Identifier

https://archives.pdx.edu/ds/psu/23760

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